This paper presents the hardware realization of a Hamming artificial neural network, and demonstrates its use in a high-speed precision alignment system. High degree of parallelism...
Due to the significant development of network services in the past few years, their validation has become increasingly difficult. The advent of novel approaches to the issue of val...
We present two methods for learning the structure of personal names from unlabeled data. The first simply uses a few implicit constraints governing this structure to gain a toehol...
Support Vector Machines (SVMs) are currently the state-of-the-art models for many classication problems but they suer from the complexity of their training algorithm which is at l...
We investigate the following data mining problem from Computational Chemistry: From a large data set of compounds, find those that bind to a target molecule in as few iterations o...